KV Cache Explained Like You’re an LLM Engineer
中文摘要
本文解释了Transformer推理中KV缓存的原理，并阐述了其作为优化关键技术如何有效提升大模型的运行效率。
English Summary
This article explains Transformer inference and how KV caching serves as a critical optimization to significantly accelerate large language model performance.
Original Excerpt
How transformer inference actually works — and why KV cache is the optimization keeping your LLM from crawling. Continue reading on Medium »